Low-light image enhancement is a notoriously challenging problem. Enhancement of low-
light images is intended to increase contrast, adjust the tone, suppress noise, and produce …

Images captured in hazy or foggy weather conditions are seriously degraded by the
scattering of atmospheric particles, which directly influences the performance of outdoor …

A key part of interpreting, visualizing, and monitoring the surface conditions of remote-
sensing images is enhancing the quality of low-light images. It aims to produce higher …

Outdoor images are subject to degradation regarding contrast and color because
atmospheric particles scatter incoming light to a camera. Existing haze models that employ …

Haze removal typically works on a physical model to estimate how light is transmitted and
lost due to absorption and scattering through the atmosphere. In this paper, a region …

Most of existing the dehazing methods have high computational complexity and poor
dehazing quality. Therefore, a fast haze removal method based on the haze density …

Automated motion detection technology is an integral component of intelligent transportation
systems, and is particularly essential for management of traffic and maintenance of traffic …

The phenomenon of atmospheric haze arises due to the scattering of light by minute
particles suspended in the atmosphere. This optical effect gives rise to visual degradation in …

One of the key challenges of machine learning-based anomaly detection relies on the
difficulty of obtaining anomaly data for training, which is usually rare, diversely distributed …

Outdoor images captured during hazy conditions have degraded visibility. The lack of both a
medium transmission and atmospheric lights in a single haze image cause an ill-posed …